- A
Use AWS DMS to directly migrate data to Redshift with full load and ongoing replication.
Why wrong: DMS can load data, but schema conversion from Oracle to Redshift is needed first.
- B
Export data to flat files, use S3 Transfer Acceleration to upload to S3, then COPY into Redshift.
Why wrong: This approach does not convert the schema; Redshift requires a columnar schema.
- C
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
SCT handles schema conversion, DMS handles data migration efficiently.
- D
Use AWS Glue to crawl the Oracle schema and create Redshift tables, then run a Glue ETL job to load data.
Why wrong: Glue can do ETL but is not optimized for large-scale migration with schema conversion like SCT.
DBS-C01 Deployment and Migration Practice Question
This DBS-C01 practice question tests your understanding of deployment and migration. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is planning to migrate a 5 TB Oracle data warehouse to Amazon Redshift. The migration must be completed within a 2-day maintenance window. The source database is heavily normalized and uses complex joins. Which strategy is most appropriate?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
Option C is correct because AWS Schema Conversion Tool (SCT) is specifically designed to convert Oracle schemas (including heavily normalized structures with complex joins) into Amazon Redshift-compatible format, which is essential for a data warehouse migration. AWS DMS then efficiently loads the converted schema and data into Redshift within the 2-day window, as it can handle large volumes with full load and ongoing replication if needed.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS DMS to directly migrate data to Redshift with full load and ongoing replication.
Why it's wrong here
DMS can load data, but schema conversion from Oracle to Redshift is needed first.
- ✗
Export data to flat files, use S3 Transfer Acceleration to upload to S3, then COPY into Redshift.
Why it's wrong here
This approach does not convert the schema; Redshift requires a columnar schema.
- ✓
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
Why this is correct
SCT handles schema conversion, DMS handles data migration efficiently.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Glue to crawl the Oracle schema and create Redshift tables, then run a Glue ETL job to load data.
Why it's wrong here
Glue can do ETL but is not optimized for large-scale migration with schema conversion like SCT.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume DMS alone can handle schema conversion, but DMS is a data migration service, not a schema transformation tool; SCT is required for converting complex Oracle schemas to Redshift-optimized formats.
Detailed technical explanation
How to think about this question
AWS SCT performs an automated assessment of the Oracle schema, identifying objects like views, stored procedures, and complex joins, then generates a Redshift-compatible schema by denormalizing tables and optimizing for columnar storage. DMS then uses a continuous replication task to migrate data with minimal downtime, leveraging change data capture (CDC) to keep the target in sync during the maintenance window. In practice, a 5 TB migration may require tuning DMS task settings (e.g., parallel load, LOB handling) to meet the 2-day deadline, especially if the source has high transaction volume.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Deployment and Migration — This question tests Deployment and Migration — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data. — Option C is correct because AWS Schema Conversion Tool (SCT) is specifically designed to convert Oracle schemas (including heavily normalized structures with complex joins) into Amazon Redshift-compatible format, which is essential for a data warehouse migration. AWS DMS then efficiently loads the converted schema and data into Redshift within the 2-day window, as it can handle large volumes with full load and ongoing replication if needed.
What should I do if I get this DBS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
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